Eshopping Scam Identification using Machine Learning

Anupriya, K.; Gayathri, R.; BalaAnand, M.; Sivaparthipan, C. B.

doi:10.1109/icsns.2018.8573687

Cited by 19 publications

(6 citation statements)

References 5 publications

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“…In addition with the resource allocation, the surveillance networks need the security level to the atmost degree for the efficient and reliable communication. Many video sensor applications are equipped with sensors such as agricultural assisting robot [30], industrial automation [31,36], and smart vehicles [32,35] where security is not prioritized as it is dealt with the sensor data [37,39]. But in the sensitive applications such as military surveillance areas, cyber agencies and banking sectors the ocular and streaming data is the primary source which need high protection.…”

Section: Our Contributionsmentioning

confidence: 99%

RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

Ramesh¹,

Yaashuwanth²

2019

Multimed Tools Appl

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The advances in the expanse of image sensors have made it conceivable to make highresolution picture sensors easily accessible. The amelioration of wireless interactive media sensor networks are found to be greatly increased due to the day to day usage of cameras, microphones and smart devices. A secured multi-hop routing mechanism is addressed in surveillance areas which could be incorporated to the multimedia sensors that are capable of peruse the detected data comprises of recorded images and videos. Also, malevolent sensor hubs could be interjected into the vigilance area in an untrusted environment. In this contemplated venture, a novel lightweight trust decision-making framework is accomplished for QoS clustering to give secure routing in both intercluster and intracluster communication. A quantifiable aberrant trust value is the variable determined by the Cluster Head (CH) for its Cluster Member (CM) inside the cluster. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is adopted for group formation and also for the exchange of the trust values among the master nodes, member nodes and Base station. In this way, the correspondence overhead, likelihood of dynamic assaults for example sinkhole and black hole assaults mount by eavesdroppers can be reduced by maintenance of trust values by cluster heads rather than cluster members. Besides, in wireless streaming video sensor networks this approach authorizes us to predict and counteract malicious untrusted and flawed nodes. Simulation results using NS-2 is examined and the suggested trust decision-making model escalates the dependability, elasticity and low memory aloft in comparison with the current trust models adopted for wireless video sensor network security.

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Section: Our Contributionsmentioning

confidence: 99%

RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

Ramesh¹,

Yaashuwanth²

2019

Multimed Tools Appl

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“…Subsequently, debate and discussion around using AI, public policies, and law and regulations to manage unauthorized access to financial services has also grown exponentially. Most research, however, focuses primarily on unauthorized rather than authorized transactions, which positions unauthorized access as the more pressing cybersecurity concern [32], [33], [34], [35]. Such a presupposition has led to an imbalance in research focus and meant that there remains a significant lack of research surrounding APP scams, especially from the technological perspective.…”

Section: App Scams: An Under-researched Cybersecurity Concernmentioning

confidence: 99%

Considerations for Using Artificial Intelligence to Manage Authorized Push Payment (APP) Scams

Fei¹,

Dhot²,

Raza³

2022

Preprint

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<p>Abstract—Artificial Intelligence (AI)-Based Security Intelligence Modelling can be used to prevent, detect, and manage cyber threats. Data-driven AI solutions are currently undergoing rigorous research and design in their own field, but few scholars or practitioners frame Authorised Push Payment (APP) Scams as a unique cybersecurity concern, or tailor technical solutions based on the local regulatory context. Drawing on a recent consultation publication by the UK Payment Systems Regulator on APP scams (November 2021), this paper shows how AI can be leveraged to manage APP scams and explores some of the opportunities and risks one should consider when adopting such an approach. We highlight three scenarios: 1) Liability on Payment Service Provider; 2) Liability on Payor; and 3) Liability on Payor with Substantial Public Sector Involvement. These examples illustrate how socio-technical systems can play a design role, and consequently assist industry leaders and engineering management in prioritizing investment focus, strategic approaches, and technical solutions.</p>

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“…The research and the experiments of VANETs are focused to utilize road safety information among vehicles to prevent accidents. The future vehicles will be equipped with sensors delivering various parameters (Balaanand et al 2015(Balaanand et al , 2018Maram et al 2019;Anupriya et al 2018), which will be displayed to the driver or transmitted to a RSU, which is a part of the VANET infrastructure. These parameters are also broadcasted to neighboring vehicles (Zeadally et al 2012).…”

Section: Vanets: An Overviewmentioning

confidence: 99%

Investigation of Secure Vekit Web Interface for Preventing Environment Pollution

Balaji¹,

Selvam

2020

Transport

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This paper describes a new system – Vehicle Kit (VEKIT), which uses a secure web-based interface for the authentication and monitoring of Vehicular Ad-Hoc Network (VANET) infrastructure and for preventing environment pollution. This paper presents the hazards caused by the usage of bags made of plastic material and proposes the design of VEKIT, which is to be installed in the vehicles for reducing the usage of such carry bags up to 75%. The survey results prove that the proposed VEKIT approach is very much relevant to solve the pollution problem faced by various countries. This novel application adds value to the future VANET projects by helping the countries to prevent pollution. The web interface of VEKIT presented in the paper can also be used to monitor the vehicles for their authenticity. A secure architecture is proposed for the usage of VANET in transport related projects.

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Eshopping Scam Identification using Machine Learning

Cited by 19 publications

References 5 publications

RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

Considerations for Using Artificial Intelligence to Manage Authorized Push Payment (APP) Scams

Investigation of Secure Vekit Web Interface for Preventing Environment Pollution

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